Professor | Xushen Xiong | Asia Growth Partners

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Name	Xushen Xiong
Contact Information	xiongxs@zju.edu.cn
Language ability	English, Chinese
Province	Zhejiang

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Name

Xushen Xiong

Contact Information

xiongxs@zju.edu.cn

Language ability

English, Chinese

Province

Zhejiang

University/Lab Affiliation and Title	Zhejiang University
Faculty	Medical
Academic Background & Achievements	2014-2019 PhD in Epigenetics: Peking University 2010-2014 Bachelor's in Bioinformatics: Huazhong University of Science and Technology Published multiple high-level articles in journals like Nature Genetics, Molecular Cell, and Nature Chemical Biology Google Scholar citations over 1500, H-index=11 2019 Wu Rui Scholarship
Work Experience	2022-present - Zhejiang University Medical Center - Researcher under the 'Hundred Talents Program' 2022-present - Second Affiliated Hospital of Zhejiang University School of Medicine - Researcher Sep 2022-Oct 2022 - MIT Computer Science and Artificial Intelligence Laboratory - Research Scientist 2019-2022 - MIT Computer Science and Artificial Intelligence Laboratory (Manolis Kellis Group) - Postdoctoral Researcher 2019-2022 - Harvard Medical School/Boston Children's Hospital (Richard Gregory Group) - Joint Postdoctoral Researcher
Awards	Wu Rui Scholarship (2019): Awarded for outstanding academic achievements

University/Lab Affiliation and Title

Zhejiang University

Faculty

Medical

Academic Background & Achievements

2014-2019 PhD in Epigenetics: Peking University
2010-2014 Bachelor's in Bioinformatics: Huazhong University of Science and Technology
Published multiple high-level articles in journals like Nature Genetics, Molecular Cell, and Nature Chemical Biology
Google Scholar citations over 1500, H-index=11
2019 Wu Rui Scholarship

Work Experience

2022-present - Zhejiang University Medical Center - Researcher under the 'Hundred Talents Program'
2022-present - Second Affiliated Hospital of Zhejiang University School of Medicine - Researcher
Sep 2022-Oct 2022 - MIT Computer Science and Artificial Intelligence Laboratory - Research Scientist
2019-2022 - MIT Computer Science and Artificial Intelligence Laboratory (Manolis Kellis Group) - Postdoctoral Researcher
2019-2022 - Harvard Medical School/Boston Children's Hospital (Richard Gregory Group) - Joint Postdoctoral Researcher

Awards

Wu Rui Scholarship (2019): Awarded for outstanding academic achievements

Areas of Focus	Bioinformatics and Disease Genetics Epigenetics Artificial Intelligence and Deep Learning
Publications	Single-cell epigenomic dissection of Alzheimer's disease pinpoints causal genetic variants and reveals epigenome erosion, Xushen Xiong, Benjamin T. James, Carles A. Boix, Yongjin Park, Kyriaki Galani, Na Sun, Lei Hou, Li-Lun Ho, Julio Mantero, Hansruedi Mathys, David A. Bennett, Li-Huei Tsai, Manolis Kellis, 2023 Multi-tissue epigenomic variation atlas across 387 GTEx samples interprets disease genetics in brain, heart, muscle, and lung, Lei Hou, Xushen Xiong, Yongjin Park, Carles Boix, Benjamin James, Na Sun, Liang He, Aman Patel, Zhizhuo Zhang, Benoit Molinie, Nicholas Van Wittenberghe, Scott Steelman, Chad Nusbaum, François Aguet, Kristin G. Ardlie, Manolis Kellis, 2023 Genetic drivers of m6A methylation in human brain, lung, heart and muscle, Xushen Xiong, Lei Hou, Yongjin Park, Benoit Molinie, GTEx Consortium, Richard I. Gregory, Manolis Kellis, 2021 N1-methyladenosine methylation in tRNA drives liver tumourigenesis by regulating cholesterol metabolism, Yanying Wang, Jing Wang, Xiaoyu Li, Xushen Xiong, Jianyi Wang, Ziheng Zhou, Xiaoxiao Zhu, Dan Dominissini, Yang Gu, Lei He, Yong Tian, Chengqi Yi, Zusen Fan, 2021 Perspectives on topology of the human m1A methylome at single nucleotide resolution, Xiong X, Li X, Wang K, Yi C, 2018 Base-resolution mapping reveals distinct m1A methylome in nuclear- and mitochondrial-encoded transcripts, Li X, Xiong X, Zhang M, Wang K, Chen Y, Zhou J, Mao Y, Lv J, Yi D, Chen X, Wang C, Qian SB, Yi C, 2017 Transcriptome-wide mapping reveals reversible and dynamic N1-methyladenosine methylome, Li X, Xiong X, Wang K, Wang L, Shu X, Ma S, Yi C, 2016 Base-Resolution Analysis of Cisplatin–DNA Adducts at the Genome Scale, Shu X, Xiong X, Song J, He C, Yi C, 2016

Areas of Focus

Bioinformatics and Disease Genetics
Epigenetics
Artificial Intelligence and Deep Learning

Publications

Single-cell epigenomic dissection of Alzheimer's disease pinpoints causal genetic variants and reveals epigenome erosion, Xushen Xiong, Benjamin T. James, Carles A. Boix, Yongjin Park, Kyriaki Galani, Na Sun, Lei Hou, Li-Lun Ho, Julio Mantero, Hansruedi Mathys, David A. Bennett, Li-Huei Tsai, Manolis Kellis, 2023
Multi-tissue epigenomic variation atlas across 387 GTEx samples interprets disease genetics in brain, heart, muscle, and lung, Lei Hou, Xushen Xiong, Yongjin Park, Carles Boix, Benjamin James, Na Sun, Liang He, Aman Patel, Zhizhuo Zhang, Benoit Molinie, Nicholas Van Wittenberghe, Scott Steelman, Chad Nusbaum, François Aguet, Kristin G. Ardlie, Manolis Kellis, 2023
Genetic drivers of m6A methylation in human brain, lung, heart and muscle, Xushen Xiong, Lei Hou, Yongjin Park, Benoit Molinie, GTEx Consortium, Richard I. Gregory, Manolis Kellis, 2021
N1-methyladenosine methylation in tRNA drives liver tumourigenesis by regulating cholesterol metabolism, Yanying Wang, Jing Wang, Xiaoyu Li, Xushen Xiong, Jianyi Wang, Ziheng Zhou, Xiaoxiao Zhu, Dan Dominissini, Yang Gu, Lei He, Yong Tian, Chengqi Yi, Zusen Fan, 2021
Perspectives on topology of the human m1A methylome at single nucleotide resolution, Xiong X, Li X, Wang K, Yi C, 2018
Base-resolution mapping reveals distinct m1A methylome in nuclear- and mitochondrial-encoded transcripts, Li X, Xiong X, Zhang M, Wang K, Chen Y, Zhou J, Mao Y, Lv J, Yi D, Chen X, Wang C, Qian SB, Yi C, 2017
Transcriptome-wide mapping reveals reversible and dynamic N1-methyladenosine methylome, Li X, Xiong X, Wang K, Wang L, Shu X, Ma S, Yi C, 2016
Base-Resolution Analysis of Cisplatin–DNA Adducts at the Genome Scale, Shu X, Xiong X, Song J, He C, Yi C, 2016

Bioinformatics Disease Genetics Epigenetics Artificial Intelligence Deep Learning Genomics Transcriptomics Rna Modification Machine Learning Computational Biology

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